Audio indexing on a medical video database: The AVISON project

This paper presents an overview of our research conducted in the context of the AVISON project which aims to develop a platform for indexing surgery videos of the Institute of Research Against Digestive Cancer. The platform is intended to provide a friendly query-based access to the videos database of IRCAD institute, that is dedicated to the training of international surgeons. A text-based indexing system is used for querying the videos where the textual contents are obtained with an automatic speech recognition system. The paper presents the new approaches that we proposed for dealing with these highly specialised data in an automatic manner. We present new approaches for obtaining low-cost training corpus, for automatically adapting the automatic speech recognition system, for allowing multilingual querying of videos and, finally, for filtering documents that could affect the database quality due to transcription errors.